Research of online learning status monitoring based on deep learning-Reference-Cited by-同舟云学术

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Research of online learning status monitoring based on deep learning

Published:2023-10-20 Issue: Volume:28 Page:114-119
ISSN:
Container-title:2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC)
language:
Short-container-title:

Author:

Li Zhi¹,Wang Jiaxin²,Wei Jiahao³,Wang Houbin⁴

Affiliation:

1. South China Normal University,Business School,Guangdong,China

2. Guangdong University of Finance & Economics,School of Economics,Guangdong,China

3. Minzu University of China,School of Economics,Beijing,China

4. Ludong University,School of Resources and Environmental Engineering,Shandong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424971/10426625/10426667.pdf?arnumber=10426667

Reference10 articles.

1. Design and implementation of online learning process monitoring system [J];Experimental Technology and Management,2011

2. Review of research on learning states [J];Jingjing;Journal of Hubei Radio and Television University,2010

3. Research on students’ autonomous learning in the “Internet +” environment - Based on Bandura’s social learning theory [J];Lilin;Curriculum Teaching Research

4. Classroom observation and thinking based on learning status [J];Lili;Primary and Secondary School Teacher Training

5. Driver fatigue detection method based on MTCNN [J];Qi;Automotive Practical Technology,2021

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